All these claims are publicly testable using web archives to build stats about review approval speed. Did you verify these claims?

>All these claims are publicly testable using web archives

I'm confused about how you think this would work.

1. Yelp doesn't report on its approval speed.

2. To get an accurate report on this, you would have to have several accounts posting positive and negative reviews on the same pages. Yelp doesn't allow this and would ban the accounts.

3. Yelp explicitly disallows scraping their site (i.e. having a bot archive the pages). Doing so would be thwarted by their anti-bot measures. It's also against their TOS.[0]

Do you have web archives that can be used to build these stats?

[0]: https://www.yelp-support.com/article/Can-I-copy-or-scrape-da...

For starters, i don’t even have to give you any hints because if you’re claiming somebody’s doing extortion you better have some good evidence.

1. You don’t need that to demonstrate statistically significant difference between paying and non-paying customers

2. You don’t need to make any accounts, only read existing and incoming data

3. Yes, you shouldn’t break TOS but you also shouldn’t be throwing around unsubstantiated accusations of extortion

I have seen reviews left by customers with my own eyes. Literally watched them type them and send them. I then watched how long they took to appear.

I have no need to convince you or anyone else. But I am convinced. I trust my eyes a lot more than I trust yelp.

And did you compare that to how long it takes to approve reviews to other businesses? Paying and nonpaying?

Right now you don’t even have proper N=1.